Data Technician Apprentice
CAREERMAKERS RECRUITMENT (UK
Manchester (M4 1LE)
Closes in 4 days (Thursday 11 September 2025)
Posted on 11 August 2025
Contents
Summary
CareerMakers Recruitment is excited to offer an excellent opportunity for aspiring tech professionals to begin their journey as a Data Technician Apprentice. This apprenticeship is perfect for someone who’s passionate about data, eager to learn, and ready to develop real-world skills while gaining industry-recognised qualifications.
- Wage
-
£15,704 for your first year, then could increase depending on your age
National Minimum Wage rate for apprentices
- Training course
- Data technician (level 3)
- Hours
-
Monday - Friday, 8.00am - 5.00pm
40 hours a week
- Start date
-
Saturday 11 October 2025
- Duration
-
1 year 4 months
- Positions available
-
1
Work
Most of your apprenticeship is spent working. You’ll learn on the job by getting hands-on experience.
What you'll do at work
- Greeting candidates when they come in
- Assisting with queries, passing on to corresponding division
- Answering/forwarding calls
- Inputting data
- Collecting/chasing candidate document
- Creating spreadsheets based upon candidate figures (how many come in from each area? Etc) and sending to the branch manager
- Handling any further tasks provided by branch manager
- Maintain a stock count for the PPE stock room (ensure consultants complete the PPE forms and count stock to prepare for new orders)
- Direct visitors to meeting rooms when necessary
- Create bags of merchandise for consultants/BDMs to use for client visits
Where you'll work
Oldham St
Manchester
M4 1LE
Training
Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.
Training provider
NOWSKILLS LIMITED
Training course
Data technician (level 3)
Understanding apprenticeship levels (opens in new tab)
What you'll learn
Course contents
- Select and migrate data from already identified sources.
- Format and save datasets.
- Summarise, analyse and explain gathered data.
- Combine data sets from multiple sources and present in format appropriate to the task.
- Use tools and/or apply basic statistical methods to identify trends and patterns in data.
- Identify faults and cleanse data to improve data quality, for example identifying gaps, duplicate entries, outliers and unusual variances, including cross-checking across data elements or between data sources.
- Audit data results for maintenance of data quality, reviewing a data set once all sources are combined, to ensure accuracy, completeness, consistency and traceability from original data.
- Demonstrate the different ways of communicating meaning from data in line with audience requirements.
- Produce clear and consistent documentation of the data provided to others and of actions completed. Where appropriate or mandated by the working context, this documentation should use standard organisational templates.
- Store, manage and distribute data in compliance with organisational, national, sector specific standards and or legislation.
- Considers sustainability and ways to reduce impact. For example, using cloud storage, sharing links to files, avoid storing multiple versions of files, and reducing the use of physical handouts of documentation.
- Parse data against standard formats, and test and assess confidence in the data and its integrity.
- Operate collaboratively in a working context that accounts for, and takes advantage of, the roles, skills and activities of others, especially those interacting with the same data sets or working towards a common goal.
- Prioritise own activities within the context of the duties to be performed, taking account of any known or expected impact on others.
- Follows equity, diversity and inclusion policies in the organisation for a common goal.
- Demonstrate the ability to use different tools and methods to formulate and utilise effective prompts to research, apply, and evaluate data transformation techniques.
- Select and migrate data from already identified sources.
- Format and save datasets.
- Summarise, analyse and explain gathered data.
- Combine data sets from multiple sources and present in format appropriate to the task.
- Use tools and/or apply basic statistical methods to identify trends and patterns in data.
- Identify faults and cleanse data to improve data quality, for example identifying gaps, duplicate entries, outliers and unusual variances, including cross-checking across data elements or between data sources.
- Audit data results for maintenance of data quality, reviewing a data set once all sources are combined, to ensure accuracy, completeness, consistency and traceability from original data.
- Demonstrate the different ways of communicating meaning from data in line with audience requirements.
- Produce clear and consistent documentation of the data provided to others and of actions completed. Where appropriate or mandated by the working context, this documentation should use standard organisational templates.
- Store, manage and distribute data in compliance with organisational, national, sector specific standards and or legislation.
- Considers sustainability and ways to reduce impact. For example, using cloud storage, sharing links to files, avoid storing multiple versions of files, and reducing the use of physical handouts of documentation.
- Parse data against standard formats, and test and assess confidence in the data and its integrity.
- Operate collaboratively in a working context that accounts for, and takes advantage of, the roles, skills and activities of others, especially those interacting with the same data sets or working towards a common goal.
- Prioritise own activities within the context of the duties to be performed, taking account of any known or expected impact on others.
- Follows equity, diversity and inclusion policies in the organisation for a common goal.
- Demonstrate the ability to use different tools and methods to formulate and utilise effective prompts to research, apply, and evaluate data transformation techniques.
Training schedule
- Data Technician Level 3 Apprenticeship Standard
- Functional Skills in English and maths if required
More training information
- Apprenticeships include time away from working for specialist training
- You’ll study to gain professional knowledge and skills
Requirements
Share if you have other relevant qualifications and industry experience. The apprenticeship can be adjusted to reflect what you already know.
Skills
- Communication skills
- Organisation skills
- Team working
- Initiative
- Excel/spreadsheet experience
About this employer
Careermakers are amongst the top recruitment agencies in the Northwest due to excellent client service, satisfaction and retention. Careermakers have a friendly yet professional approach to finding staff for Clients and finding work for Candidates. We understand our clients and candidates' individual needs, which is a quality that sets us above industry standards. Careermakers have highly trained consultants who are dedicated to providing you with the best results. We aspire to provide bespoke, cost effective and added value recruitment to all companies and organisations across the Northwest.
After this apprenticeship
- The successful candidate may be offered full-time employment
Ask a question
The contact for this apprenticeship is:
NOWSKILLS LIMITED
The reference code for this apprenticeship is VAC1000336476.
Apply now
Closes in 4 days (Thursday 11 September 2025)
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